title: Advanced statistical matrices for texture characterization: application to cell classification.
abstract: This paper presents new structural statistical matrices which are gray level size zone matrix (SZM) texture descriptor variants. The SZM is based on the cooccurrences of size/intensity of each flat zone (connected pixels with the same gray level). The first improvement increases the information processed by merging multiple gray-level quantizations and reduces the required parameter numbers. New improved descriptors were especially designed for supervised cell texture classification. They are illustrated thanks to two different databases built from quantitative cell biology. The second alternative characterizes the DNA organization during the mitosis, according to zone intensities radial distribution. The third variant is a matrix structure generalization for the fibrous texture analysis, by changing the intensity/size pair into the length/orientation pair of each region.
authors.forename: Guillaume
authors.initials: G
authors.lastname: Thibault
authors.forename: Jesús
authors.initials: J
authors.lastname: Angulo
authors.forename: Fernand
authors.initials: F
authors.lastname: Meyer
mesh_terms: D002460:Cell Line; D002477:Cells / Q000145:classification* / Q000648:ultrastructure; D003584:Cytological Techniques / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D042541:Intracellular Space; D008856:Microscopy, Fluorescence; D015233:Models, Statistical